Evidence map›Paper›PMID 35098386›Full record

ArticleInflammopharmacology2022

Evaluation serum levels of Insulin Growth Factor-1 (IGF-1) and its association with clinical parameters in severe COVID-19.

Parisa Feizollahi, Somaieh Matin, Seyed Askar Roghani, Shayan Mostafaei, Elham Safarzadeh, Mahdi Taghadosi

Abstract read
In one paragraph

Article in Inflammopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Parisa Feizollahi *Immunology Department, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Somaieh Matin *Department of Internal Medicine, Emam Khomeini Hospital, Ardabil University of Medical Sciences, Ardabil, Iran.
Seyed Askar RoghaniImmunology Department, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Shayan MostafaeiDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Elham SafarzadehDepartment of Microbiology, Parasitology, and Immunology, Ardabil University of Medical Sciences, Ardabil, Iran. E.safarzadehe@arums.ac.ir.
Mahdi TaghadosiDepartment of Immunology, Kermanshah University of Medical Sciences, Kermanshah, Iran. mtaghad@gmail.com.ORCID http://orcid.org/0000-0002-3516-0130

Funding

Kermanshah University of Medical Sciences 990599
6 · The paper itself

Abstract

backgroundSevere coronavirus disease-2019 (COVID-19) is associated with dysregulated immune response and extreme inflammatory injury. Considering the role of insulin growth factor-1 (IGF-1) in immune-mediated and inflammatory reactions, this study was conducted to investigate the IGF-1 contribution to the pathogenesis of severe form of COVID-19. MATERIAL AND

methodsSixty-two patients with severe COVID-19 and 52 healthy subjects were enrolled in this study. The serum levels of IGF-1 were measured using a solid-phase enzyme-linked chemiluminescent immunoassay on an Immulite 2000 system (Siemens Healthcare Diagnostics.

resultThe serum levels of IGF-1 had no significant difference in COVID-19 patients compared to the healthy subjects (p = 0.359). There was a positive correlation between IGF-1 and age in the severe COVID-19 patients, while a negative correlation was observed for the serum levels of IGF-1 and age in the control group (r = 0.364, p = 0.036, r = - 0.536, p = 0.001, respectively). Moreover, IGF-1 was remarkably associated with hypertension, neurogenic disease, shock, and nausea in patients with the severe form of COVID-19 (p = 0.031, p = 0.044, p = 0.01, p = 0.03, respectively).

conclusionOur results pointed to the complex role of IGF-1 in the severe form of COVID-19, and its association with clinical parameters, and some risk factors in the severe form of COVID-19.

Indexed as

COVID-19Insulin-Like Growth Factor IHumansInsulin-Like Growth Factor Binding Protein 3SARS-CoV-2Insulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IAgeClinical parametersIGF-1Severe COVID-19

Identifiers

PMID35098386
PMCPMC8801278

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